Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 14th June 2025, 06:22:03pm WEST

 
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Session Overview
Session
LP-24
Time:
Friday, 18/July/2025:
9:00am - 10:30am

Session Chair: Thierry Poibeau, ENS-PSL & CNRS
Location: B210 (TB)

60 places

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Presentations

Abstracted Cor Concepts for Framework Development and Versioned Textual Publication

Nicholas John Hayward

Loyola University Chicago, United States of America

This proposal aims to delineate the underlying concepts of the Cor framework’s adaptability and significance in the realm of digital humanities, emphasizing its diverse applications and innovative approaches.



Race, Gender, and the Visual Culture of Domestic Labor: An Interactive Digital Archive of Tradecards and Postcards from the age of New Imperialism

Satya Sikha Chakraborty1, Joydeep Mitra2

1The College Of New Jersey, United States of America; 2Northeastern University, United States of America

“Race, Gender, and the Visual Culture of Domestic Labor” is a publicly accessible digital humanities project that presents an archive of tradecards and postcards depicting domestic labor, from the 1870s to the 1940s. In this paper, we describe the features of the archive and the techniques used to develop it.



Automated Annotation Transfer from English to French (Annotation Transfer as a Way to Speed-up the Production of Training Corpora)

Margo Novikov1,2, Thierry Poibeau1, Frédérique Mélanie-Becquet1

1ENS-PSL & CNRS & U. Sorbonne nouvelle, France; 2UCLA, USA

Producing annotated corpora is essential for training annotation systems, but it is often a lengthy and expensive process. This paper introduces a method and a functional tool for transferring annotations from a source language to a target language, when relevant high-quality annotated corpora exist in a source language.



 
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